Crimean-Congo haemorrhagic fever: an overview

Crimean-Congo Hemorrhagic Fever (CCHF) is an acute, highly-contagious and life-threatening vector borne disease. The CCHF virus causes severe viral hemorrhagic fever outbreaks, with a case fatality rate of 10-40%. CCHF virus isolation and/or disease has been reported from more than 30 countries in Africa, Asia, South eastern Europe and Middle east. Jan 2011 marks first ever reports of outbreak of CCHF in India, total 5 cases were detected of CCHF from Gujarat. CCHF has recently in news again, 6 human cases and 32 animal samples test positive for CCHF from Kariyana village of Amreli district (Gujarat state) July 2013. Crimean-Congo hemorrhagic fever virus (CCHFV), member of genus Nairovirus in the family Bunyaviridae. Numerous genera of ixodid ticks serve both as vector and reservoir for CCHFV. Human infections occurred through tick bites, direct contact with blood or tissue of infected livestock, or nosocomial infections. Human infections begin with nonspecific febrile symptoms, but progress to a serious hemorrhagic syndrome with a high case fatality ratio. The most definitive way of diagnosis is the demonstration of virus or viral genome in sera samples. Hospitalization in special care unit with constant effort to prevent haemorrhagic complication along with laboratory monitoring is cornerstone for treatment of CCHF. Till date there is no FDA approved drug or definitive treatment for CCHF, ribavirin is tried by many physician need to be evaluated further. Current article is an effort to update existing knowledge about CCHF by due focus on various aspects especially prevention of this zoonotic disease. Much of the real life queries about this disease are elaborated after extensive literature research.

A TLE-based Algorithm for Correcting Empirical Model Densities during Geomagnetic Storms

Neutral densities increase up to 800% during geomagnetic storms. Satellite two-line element sets (TLEs) show increased orbital decay during geomagnetic storms from increased drag

A propos de l’isolement de quelques souches de Miyagawanella psittaci

En France l’importance de l’ornithose, sous sa forme psittacosique, ne doit pas être sous-estimée. L’examen de 10 perroquets ou perruches reçus dans les services spécialisés de l’Institut Pasteur, au cours des 4 dernières années, a permis d’isoler Miyagawanella psittaci chez 8 oiseaux. En outre, 114 cas probables d’ornithose humaine ont été détectés par la sérologie de 1959 à 1966

Etude d’une pyodermite particulièrement rebelle chez le chien isolement d’Actinobacillus equuli associé à un staphylocoque

Vallée A., Durieux Jean, Durieux M., Virat Bernard. Etude d'une pyodermite particulièrement rebelle chez le chien isolement d'Actinobacillus equuli associé à un staphylocoque . In: Bulletin de l'Académie Vétérinaire de France tome 113 n°3, 1960. pp. 153-156

Un cas particulier d'allergie infectieuse, la sensibilisation du porc à l'antigène de l'encéphalo-myélite euzootique

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Effects of Uncertainties in the Atmospheric Density on the Probability of Collision Between Space Objects

The rapid increase of the number of objects in orbit around the Earth poses a serious threat to operational spacecraft and astronauts. In order to effectively avoid collisions, mission operators need to assess the risk of collision between the satellite and any other object whose orbit is likely to approach its trajectory. Several algorithms predict the probability of collision but have limitations that impair the accuracy of the prediction. An important limitation is that uncertainties in the atmospheric density are usually not taken into account in the propagation of the covariance matrix from current epoch to closest approach time. The atmosphere between 100 km and 700 km is strongly driven by solar and magnetospheric activity. Therefore, uncertainties in the drivers directly relate to uncertainties in the neutral density, hence in the drag acceleration. This results in important considerations for the prediction of Low Earth Orbits, especially for the determination of the probability of collision. This study shows how uncertainties in the atmospheric density can cause significant differences in the probability of collision and presents an algorithm that takes these uncertainties into account to more accurately assess the risk of collision. As an example, the effects of a geomagnetic storm on the probability of collision are illustrated.Plain Language SummarySpacecraft collision avoidance is particularly challenging at low altitudes (below  700 km). One of the main reasons is that, at these altitudes, satellite trajectories are strongly perturbed by atmospheric drag, a force particularly hard to model. The sources of errors mostly come from the complex coupling between the Sun and the Earth’s environment. This system drives the density of the Earth’s atmosphere on which the atmospheric drag directly depends. In other words, uncertainties in the atmospheric density result in large uncertainties in the satellite trajectories. The probability of collision, which is computed from the prediction of the satellite trajectories, thus cannot be predicted perfectly accurately. However, mission operators decide whether or not a collision avoidance maneuver has to be carried out based on the value of the probability of collision. Therefore, it is essential to characterize the level of uncertainty associated with the prediction of the probability of collision. The research presented here offers an approach to determine the uncertainty on the prediction of the probability of collision as a result of uncertainties in the atmospheric density. The ultimate goal is to assist mission operators in making the correct decision with regard to potential collision avoidance maneuvers.Key PointsUncertainties in the atmospheric density result in uncertainties in the probability of collisionProbability distribution functions of the probability of collision resulting from uncertainties in the atmospheric density are derivedMonte Carlo procedures are used to compute the probability of collisionPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/144643/1/swe20687_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/144643/2/swe20687.pd

Transmission expérimentale de l'encéphalo-myélite enzootique des porcs par inoculation sous-cutanée

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Etude d’une pneumopathie à virus du chien

Reculard Pierre, Vallée A., Le Cain A., Virat Bernard, Levaditi J. Etude d'une pneumopathie à virus du chien. In: Bulletin de l'Académie Vétérinaire de France tome 112 n°10, 1959. pp. 603-617